Some tests for the power series distibutions in one parameter using the kullback-leibler information measure

The purpose of the article is, in case of one sample, to obtain tests concerning the parameter in the power series distribution in one parameter using Ku11back-Leibier information measure. The class of power series distibutions contains a host of discrete distributions. Ve illustrate the general results obtained in case of the geometric distibution.     

The weighted jackknife for ratio estimation

Using the idea of impirical influence function, Hinkley (1977), the weighted jackknife technique is extended to ratio estimation. A weighted jackknife variance estimator for the ratio estimator is developed. Using the prediction theory approach, the properties of the weighted jackknifed variance estimator are examined. The implications of the failures of regression model on the behaviour of the weighted jackknifed variance estimator, for ratio estimation, are also studied.     

Inference on effect size indices from several two-armed experiments

The statistical inference problem on effect size indices is addressed using a series of independent two-armed experiments from k arbitrary populations. The effect size parameter simply quantifies the difference between two groups. It is a meaningful index to be used when data are measured on different scales. In the context of bivariate statistical models, we define estimators of the effect size indices and propose large sample testing procedures to test the homogeneity of these indices. The null and non-null distributions of the proposed testing procedures are derived and their performance is evaluated via Monte Carlo simulation. Further, three types of interval estimation of the proposed indices are considered for both combined and uncombined data. Lower and upper confidence limits for the actual effect size indices are obtained and compared via bootstrapping. It is found that the length of the intervals based on the combined effect size estimator are almost half the length of the intervals based on the uncombined effect size estimators. Finally, we illustrate the proposed procedures for hypothesis testing and interval estimation using a real data set.     

The general class of chain estimators for the ratio of two means using double sampling

A wider class of chain based estimators for the ratio of two means of a finite population has been proposed by using two auxiliary variables. Singh et al.(1994) is a particular case of this class.     

Psychology in the Arab World: Past, Present, and Future

In this article, we present a broad-based view of psychology in the Arab countries. We begin by casting light on the relevant contributions by ancient Arab scholars in the Middle Ages. Given that systematic scientific investigation of this legacy has been minuscule, we argue that in the future, scholars seeking to provide a more balanced and comprehensive history of Arab psychology should reanalyze these works. We point out that in the early decades of the modern twentieth century, Western psychology was introduced in the Arab countries, especially in Egypt—the gateway through which such psychology was introduced and practiced. By the early 1960s, a number of universities had been established in some Arab countries, and Egyptian academicians, including psychologists, were invited to perform teaching, research, and administration tasks. Their legacy was a discipline bearing most of the strengths and weaknesses of Egyptian psychology, although in spite of such commonalties, there exist also some interesting differences characterizing psychology in the various Arab countries. The final section of the article summarizes some key aspects endemic to psychology in the Arab countries.     

Sugar,Slavery and Productivity in Jamaica, 1750–1807

The article revisits one of the most significant questions in the historiography of British West Indian slavery and abolition. It examines the argument that the relatively weak state of the British West Indian economy from the 1780s onward was the main reason why Britain abolished the slave trade in 1807. In confronting this question of decline, the article analyzes the largest and most important slave plantation economy – Jamaica – during the early eighteenth and nineteenth centuries. Using newly generated indicators such as total factor productivity and national income, the paper constructs a case for the dynamism and efficiency of the plantation system in Jamaica right up to abolition in 1807.     

CAN JUSTICE AND SHAME DETER AN ESCALATION IN TAX EVASION?

This study examines the roles that justice and shame management play in deterring escalation in tax evasion. Data were taken from the Graduates' Hopes, Visions and Actions Survey based on a sample of 447 Australian graduates who recently received their tertiary degrees. Path analysis reveals that both justice variables (societal and personal) indirectly affect tax non‐compliance through shame (or lack thereof). Injustice brings about a significant increase in unacknowledged shame which, in turn, leads to increased tax evasion. The path to tax evasion is also mediated by an attitude condoning non‐compliance, and dissociation. Of considerable interest is the finding that personal injustice, in contrast to societal injustice, has a direct link to tax evasion. The results of the study demonstrate that felt injustice triggers both emotional and cognitive responsiveness, and works to undermine moral obligation in tax compliance.     

Multiple imputation compared with restricted pseudo‐likelihood and generalized estimating equations for analysis of binary repeated measures in clinical studies

Non‐likelihood‐based methods for repeated measures analysis of binary data in clinical trials can result in biased estimates of treatment effects and associated standard errors when the dropout process is not completely at random. We tested the utility of a multiple imputation approach in reducing these biases. Simulations were used to compare performance of multiple imputation with generalized estimating equations and restricted pseudo‐likelihood in five representative clinical trial profiles for estimating (a) overall treatment effects and (b) treatment differences at the last scheduled visit. In clinical trials with moderate to high (40–60%) dropout rates with dropouts missing at random, multiple imputation led to less biased and more precise estimates of treatment differences for binary outcomes based on underlying continuous scores. Copyright © 2005 John Wiley & Sons, Ltd.     

People as partners: Facilitating people's participation in public–private partnerships for solid waste management

Cities in developing countries are facing a double dilemma. On one hand, the urban population is growing rapidly, causing a huge increase in demand for waste management services. On the other hand, the traditional public sector is failing to respond to the increased demand for service. The public sector is constrained by resource and institutional limitations. It is often proposed that the solution lies in private sector participation. It is expected that the private sector, with its dynamism and flexibility, may fill in the service delivery gaps by forming partnership with the public sector. However, a third tier—the people—is often overlooked in the service delivery framework. Citizens can contribute significantly to service delivery. They can support the private sector with payment of service charges. But more importantly, they can play an active role in improving accountability and service quality of both public and private sector. This radical shift in people's role, from passive service receivers to active service partners, however, may not occur endogenously. External help from facilitating agencies may enable the public and private sector to form partnership with people for better service delivery. This article examines the role of facilitating agencies in developing tripartite partnership for solid waste management service in Bangladesh. The key lessons learned are: a number of obstacles prevented spontaneous partnership among the public sector, private sector and people; facilitating agencies were able to overcome the obstacles to form partnership of the three; and, the tripartite arrangement resulted in higher accountability and better service delivery.